Abstract: An article of handwear for grasping a medical device in a medical environment includes a base adapted to be worn by a hand of a wearer. A sensor assembly is carried by the base. The sensor assembly is adapted to sense a force applied by the hand of the wearer, via the article of handwear, to the medical device. The sensor assembly is adapted to provide information regarding at least one shear component of the forces sensed by the sensor assembly.

Abstract: A system and methods for detecting particles and soluble chemical entities in body fluids consists of a system consisting of a microscopic apparatus, a sample chamber and reagents and methods used to detect, classify and enumerate particles and chemical entities in body fluids. Body fluids containing particles combined with reagents sediment to the bottom of a viewing chamber bringing them into the focal place of a digital microscopic detector. Particles identified as areas within a captured digital image that absorb or emit electromagnetic radiation can be further classified based on additional absorbed or emitted electromagnetic radiation within the predefined areas of the first digital image. Soluble chemical entities in body fluids are detected and concentrations determined using transmitted or emitted electromagnetic radiation using known chemical or antibody reactions, making the microscopic device a general purpose detector for in vitro determinations using body fluids.

Abstract: Systems, methods, and devices are described for delivering treatment to a skin surface of an individual based on a microbe profile, which include a skin-treatment delivery device including at least one treatment agent reservoir with at least one port with a controllable valve, at least one conduit, a location-capture component, a data storage component to store information associated with the microbe profile, and a computing component including a processor and circuitry to receive information associated with a measured feature of a location on the skin surface, correlate the received information associated with the measured feature of the location on the skin surface with the stored information associated with the microbe profile, select one or more treatment agents for application to the location on the skin surface from a database of treatment agents, and actuate the controllable valve of the at least one treatment agent reservoir to modulate release of the selected one or more treatment agents.

Abstract: A biological substance detection method for detecting a biological substance specifically in a pathological specimen, comprising a step of immunologically staining the pathological specimen using a fluorescent label, a step of staining the pathological specimen with a staining reagent for morphology observation purposes (eosin) to observe the morphology of the pathological specimen, a step of irradiating the stained pathological specimen with excited light to cause the emission of a fluorescent and detecting the biological substance in the pathological specimen. In the step of immunologically staining the pathological specimen, a special fluorescent particle for which the excitation wavelength appears in a region that is different from the excitation wavelength region of eosin is used as the fluorescent label.

Abstract: A device includes an EMG processing application operable with a processing module to receive audio output from EMG testing, wherein the audio output represents electrical activity of at least one muscle. The EMG processing application is operable to process the audio output to detect at least one type of waveform of a plurality of types of waveforms from the audio output and display the detected at least one type of waveform.

Abstract: A cardiac monitoring system including a long term ECG monitoring unit configured to be supported by the patient for long periods of time, including a power source, one or more electrodes electrically attached to the long term ECG monitoring unit and configured to be worn by the patient for extended periods of time, circuitry for receiving an ECG signal of the patient via the electrodes, and at least one processor operatively coupled to the circuitry for monitoring the ECG signal of the patient.

Abstract: A blood pressure measurement system is configured to perform a calibration automatically when a calibration condition is satisfied. The calibration condition is based upon one or more parameters of pulse waves of a subject. The parameters may include pulse wave area; a time difference between systolic peak and reflected wave peak or dichrotic notch in the pulse wave and a shape of at least a portion of the pulse wave.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: A method for monitoring physiological parameters associated with a subject using a hand held device is described herein. In an implementation, the method includes obtaining a plurality of sample photoplethysmographic (PPG) features associated with a sample subject, from a video of a body part of the sample subject. From among the plurality of sample PPG features, at least one relevant sample PPG feature associated with the physiological parameter, is selected based on a ground truth value of the physiological parameter for the subject. Further, based on the at least one relevant sample PPG feature and the ground truth value of the physiological parameter, a mathematical model indicative of a correlation between the relevant sample PPG feature and the physiological parameter, is determined. The mathematical model can be deployed for monitoring the physiological parameter in real time.

Abstract: Methods, systems and apparatus that provide for perceptual, cognitive, and motor behaviors in an integrated system implemented using neural architectures. Components of the system communicate using artificial neurons that implement neural networks. The connections between these networks form representations—referred to as semantic pointers—which model the various firing patterns of biological neural network connections. Semantic pointers can be thought of as elements of a neural vector space, and can implement a form of abstraction level filtering or compression, in which high-dimensional structures can be abstracted one or more times thereby reducing the number of dimensions needed to represent a particular structure.

Abstract: Provided is a reflection detection type measurement method for skin fluorescence. The method includes: irradiating excitation light on a measurement target; detecting a reflected light and a skin fluorescence generated from the measurement target due to the excitation light; irradiating light with a wavelength range of the skin fluorescence on the measurement target; detecting a reflected light generated from the measurement target due to the light with a wavelength range of the skin fluorescence; and calculating a skin fluorescence value of the measurement target by correcting a calculation based on the detected reflected light and skin fluorescence.

Abstract: The system includes an active medical device with means for delivering defibrillation shocks; means for continuous collection of the patient current cardiac activity parameters; and evaluator means with neuronal analysis comprising a neural network with at least two layers. This neural network comprises upstream three neural sub-networks receiving the respective parameters divided into separate sub-groups corresponding to classes of arrhythmogenic factors; and downstream an output neuron coupled to the three sub-networks and capable of outputting an index of risk of ventricular arrhythmia. The risk index is compared with a given threshold, to enable or disable at least one function of the device in case of crossing of the threshold.

Abstract: Embodiments described herein include sensors and sensor systems having probe-off detection features. For example, sensors and physiological monitors described herein include hardware and/or software capable of providing an indication of the integrity of the connection between the sensor and the patient. In various embodiments, the physiological monitor is configured to output an indication of a probe-off condition for an acoustic sensor (or other type of sensor). For example, in an embodiment, a signal from an acoustic sensor is compared with a signal from a second sensor to determine a probe-off condition.

Abstract: A system is disclosed having a storage, a communications module for interacting with a medical measurement device, an analysis controller, and a test module that allows for the testing and evaluating of decision-support algorithms. A method for testing decision-support algorithms is disclosed having the steps of receiving into storage of a ruggedized, compact computer at least one decision-support algorithm; detecting with a communications module the initiation of a vital-sign monitoring session; receiving and storing vital-sign information into storage by the communications module; pushing the stored vital-sign information by an analysis controller to a test module running the stored at least one decision-support algorithm; and providing at least one output from the decision-support algorithm to at least one of a database and a display.

Abstract: A method for trouble managing in equipment is provided, with which optimal timing of repairing the equipment and occurrence of malfunction probable to occur concurrently with present malfunction or later stage can be inferred with sufficient accuracy, and which can be adopted for large-scale equipment used in a plant.

Abstract: Methods, devices, and systems for monitoring heart rate variability (HRV). The HRV monitoring systems and devices are adapted to give immediate feedback to the subject concerning their current condition and any pertinent changes in their condition. The HRV monitoring systems and devices detect, analyze, and assess HRV against a pre-determined application or user need. They also have the ability to provide real time notifications based on the system's assessment of a user's heart HRV and changes in the HRV.

Abstract: A fiducial position marker (1) for use in a magnetic resonance (MR) imaging apparatus is disclosed for exciting and/or receiving MR signals in/from a local volume which at least substantially surrounds or adjoins the position marker, in order to determine and/or image from these MR signals the position of the position marker in an MR image of an examination object. Such a position marker (1) is especially used for determining and/or imaging a position of an interventional or non-interventional instrument to which the position marker may be attached, like a catheter, a surgical device, a biopsy needle, a pointer, a stent or another invasive or any non-invasive device in an MR image of an examination object. Further, a position marker system comprising such a position marker (1) and a circuit arrangement (5, 6, 6a, 8) for driving the position marker (1) for exciting MR signals and/or for processing MR signals received by the position marker is disclosed.

Abstract: Apparatuses, methods, and program products are disclosed for directing motion of a writing device. By use of a processor, destination data corresponding to a destination placement for a writing device is received. Current data corresponding to a current placement of the writing device is also received. A mechanism that provides tactile feedback to the writing device is controlled to direct the writing device from the current placement toward the destination placement as a function of at least the destination data and the current data.

Abstract: The present invention provides methods and apparatuses for accurate noninvasive determination of tissue properties. Some embodiments of the present invention comprise an optical sampler having an illumination subsystem, adapted to communicate light having a first polarization to a tissue surface; a collection subsystem, adapted to collect light having a second polarization communicated from the tissue after interaction with the tissue; wherein the first polarization is different from the second polarization. The difference in the polarizations can discourage collection of light specularly reflected from the tissue surface, and can encourage preferential collection of light that has interacted with a desired depth of penetration or path length distribution in the tissue. The different polarizations can, as examples, be linear polarizations with an angle between, or elliptical polarizations of different handedness.

Abstract: There is provided herein a system for weaning a patient from mechanical ventilation (MV), the system comprising a ventilation device and a controller comprising an interface module configured to receive two or more measured patient parameters, wherein at least one measured patient parameters parameter comprise a CO2 related parameter, wherein said controller is further configured to compute an Integrated Pulmonary Index (IPI) value based on the two or more measured patient parameters and to provide a signal to the ventilation device, based on the computed IPI value, wherein said signal adjusts one or more weaning related parameters in said ventilation device.

Abstract: A method and apparatus for forming an overall image of an object from a plurality of images. Each image includes three-dimensional data and color data and is segmented based on the color data to identify a first region with hard tissue and a second region with soft tissue. For each image, first and second weighting factors may be assigned. Points in the second region with a larger distance to a corresponding proximate part of the first region may have a smaller second weighting factor than a point with a smaller distance to a corresponding proximate part of the first region. The second weighting factor may be variable, with its value dependent upon a value of a first area section corresponding to the first region.

Abstract: The present invention provides apparatuses and methods for chaos computing. For example, a chaos-based logic block comprises an encoding circuit block, at least one chaotic circuit block, a bias voltage generating circuit block, and a threshold circuit block. The encoding circuit block converts a plurality of digital inputs to an analog output. The plurality of digital inputs may comprise at least one data input and at least one control input. At least one chaotic circuit block is configured to iterate converting an input signal to an output signal by feeding the output signal to at least one chaotic circuit as the input signal at each iteration. The bias voltage generating circuit block converts a plurality of binary control inputs to a bias voltage. The threshold circuit block compares the output signal with a predetermined threshold, thereby generating a digital signal.

Abstract: A model-based method for assessing acoustic signal quality in a heart monitoring device. The personal heart sound interval distribution of a person being actively monitored is compared with a modeled global heart sound interval distribution shared by most human beings after which processing action is taken consistent with the quality assessment. The error in the best fit between the personal interval distribution and the global interval distribution is presumed to be caused predominantly by noise, allowing the quality of the fit to serve as a proxy for the level of noise in the acoustic signal and used in making processing decisions.

Abstract: An asset health monitoring system (AHMS) can assign a confidence indicator to some or all the monitored computing asset in a data center, such as computing systems or networking devices. In response to drops in the confidence indicators, the AHMS can automatically initiate testing of computing assets in order to raise confidence that the asset will perform correctly. Further, the AHMS can automatically initiate remediation procedures for computing assets that fail the confidence testing. By automatically triggering testing of assets and/or remediation procedures, the AHMS can increase reliability for the data center by preemptively identifying problems.

Abstract: A method and system to detect the microcalcifications (MC) in different type of images viz. X-ray images/mammograms/computer tomography with varied densities using nonlinear energy operator (NEO) is disclosed to favor precise detection of early breast cancer. Such Microcalcifications are associated with both high intensity and high frequency content. The same NEO output is useful to detect and remove the irrelevant curvilinear structures (CLS) thereby helps in reducing the false alarms in micro calcification detection technique. This is effective on different dataset (scanned film, mammograms with large spatial resolution such as CR and DR) of varied breast composition (viz. dense, fatty glandular, fatty), demonstrated quantitatively by Free-response receiver operating characteristic (FROC). Importantly, the method and apparatus of the invention can be used in conjunction with machine learning techniques viz.

Abstract: A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over networks, such as a telephone network or a computer network. The invention also includes a stand-alone embodiment that may utilize occasional connectivity to a central computer by use of a network, such as the Internet. New authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Abstract: Systems and methods for determining physiological parameters of a subject using a sensor array. In an embodiment, a sensor array may contain sensor elements for determining multiple physiological parameters. A combination of sensor elements and the physiological parameters determined may be selected based on signals obtained from the sensor elements of the sensor array. A sensor array may be connected to a monitoring device that may select an optimal sensor element or combination of sensor elements and one or more physiological parameters to be determined. The monitoring device may then determine physiological parameters using the selected combination of sensor elements and display information associated with the parameters on a monitor for use, for example, in monitoring a medical patient.

Abstract: Various embodiments may provide methods and systems capable of evaluating physiological parameter data. The methods and systems may include a receiver capable of collecting a signal representative of a physiological status of a patient, a plurality of data analysis components, wherein each of the plurality of data analysis components is capable of generating a metric based on the signal, and an arbitrator communicatively coupled to each of the plurality of data analysis components and capable of generating a single metric from the metrics generated by the plurality of data analysis components.

Abstract: A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

Abstract: A method, device, and computer program product for monitoring the physiological state of a subject is disclosed. A first plurality of physiological signals are acquired from the subject and a second plurality of signal parameters are determined based on the first plurality of physiological signals. Relevant signal information is selected from among the signal information produced and at least one screen page is displayed at a time, thereby to make at least part of the signal information visible to a user. The signal information visible to the user on the at least one screen page may then be revised based on the selection and without user interaction, thereby to accelerate clinical decision-making and to diminish the possibility of undetected changes in the state of the subject.

Abstract: A fetal parameter or anatomy is measured or detected from three-dimensional ultrasound data. An algorithm is machine-trained to detect fetal anatomy. Any machine training approach may be used. The machine-trained classifier is a joint classifier, such that one anatomy is detected using the ultrasound data and the detected location of another anatomy. The machine-trained classifier uses marginal space such that the location of anatomy is detected sequentially through translation, orientation and scale rather than detecting for all location parameters at once. The machine-trained classifier includes detectors for detecting from the ultrasound data at different resolutions, such as in a pyramid volume.

Abstract: The present disclosure provides computer readable storage media useful in lie detection based on heart rate variability (HRV) analysis and HRV analysis using strange entropy. The computer readable storage medium may have a computer program encoded thereon, the computer program, when executed by a computer, instructs the computer to execute a method of lie detection that includes receiving an input associated with HRV and performing a nonlinear HRV analysis based on the input associated with HRV to obtain a lie detection result, the nonlinear HRV analysis.

Abstract: Features indicative of hypoglycaemia in EEG signals are detected by: —dividing EEG signals into a sequence of time segments, —for each time segment determining whether a pattern of EEG signals is present which is indicative of hypoglycaemia and, where a pattern of EEG signals indicative of hypoglycaemia is determined to be present in a time segment, recording this as an event, —integrating the number of events recorded during a selected number of preceding time segments which together constitute a selected time period, optionally in a time weighted manner, and—determining that the EEG signals are indicative that hypoglycaemia is present based on said integration when the said integrated number of events exceeds a preset threshold number and/or when there exists a threshold level of matching between a curve of said integration over time and a previously established ideal model of said curve indicative of hypoglycaemia.

Abstract: The present disclosure provides a heart rate variability (HRV) analysis-based method of lie detection, related computer program product, computer readable storage medium and system. Also provided is a method of HRV analysis using strange entropy.

Abstract: A computer assisted cardiogram diagnostic system, comprises a diagnosing unit, for obtaining a plurality of preliminary diagnostic results according to the cardiogram signals; and an amending unit, for judging the plurality of preliminary diagnostic results, and amending the plurality of preliminary diagnostic results using conflict eliminating rules, in order to obtain amended diagnostic results.

Abstract: Described is a system including a sensor and a processing arrangement. The sensor measures data corresponding to a patient's breathing patterns. The processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of a REM sleep state. In another embodiment, the processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of one of the following states: (i) a wake state and (ii) a sleep state. In another embodiment, a neural network analyzes the data to determine whether the breathing patterns are indicative of one of the following states: (i) a REM sleep state, (ii) a wake state and (iii) a sleep state. In another embodiment, the processing arrangement analyzes the data to determine whether the breathing pattern is indicative of an arousal.

Abstract: In general, the invention is directed to a technique for selection of parameter configurations for a neurostimulator using neural networks. The technique may be employed by a programming device to allow a clinician to select parameter configurations, and then program an implantable neurostimulator to deliver therapy using the selected parameter configurations. The parameter configurations may include one or more of a variety of parameters, such as electrode configurations defining electrode combinations and polarities for an electrode set implanted in a patient. The electrode set may be carried by one or more implanted leads that are electrically coupled to the neurostimulator. In operation, the programming device executes a parameter configuration search algorithm to guide the clinician in the selection of parameter configurations. The search algorithm relies on a neural network that identifies potential optimum parameter configurations.

Abstract: An automated method for analyzing whether all cancerous or abnormal tissue has been removed as a result of surgical resection is disclosed. A number of tissue section slides are prepared representing all or a relatively large percentage of the tissue sample, and high-resolution digital microscopic images are formed of the sections. A clustering algorithm forms an image showing the healthy tissue margins, such representation being stored in a file of significantly smaller size than the original photograph. These two-dimensional image files may be formed into a three-dimensional image of the entire resected tissue, thereby improving the accuracy and ease by which a pathologist may determine if further surgery or radiation therapy, for example, are indicated.

Abstract: A method of training a subject to improve anticipatory timing includes presenting the subject with multiple sequences of stimuli, receiving sensor signals associated with responses by the subject to the stimuli, and recording response times in accordance with the sensor signals, wherein the recorded response times are associated with the responses by the subject to the multiple sequences of stimuli, and wherein the response times have an associated distribution. The method further includes analyzing the distribution of response times for the subject to determine variability in anticipatory timing of the subject with respect to the stimuli, and generating a subject feedback signal corresponding to a result of the analyzing so as to train the subject to improve anticipatory timing of the subject. Also disclosed is a system for performing the aforementioned training method.

Abstract: Image processing method for a digital medical examination image, the pixels of which are assigned a gray-scale value in each instance, with a minimum and a maximum gray-scale value being defined as limit values for the purpose of displaying the examination image, with the pixels being subjected to an evaluation by means of a neural network, in order to determine such pixels and to disregard them when defining the gray-scale values which are located in a direct radiation region or in a projected collimator region.

Abstract: An interactive computer assisted method compiles comprehensive health care information on patients in a central repository, assesses and analyzes this information, and identifies high utilizers of health care services using a computer and a user associated therewith. The method includes the steps of creating a central repository of various databases containing patient information, including demographic information and behavior, and optionally the results of a core survey of health status questions. The invention optionally involves the step of determining the appropriate core questions and the criteria to determine whether and when to ask certain questions of particular patients based on their response to prior questions.

Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

Abstract: A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over networks, such as a telephone network or a computer network. The invention also includes a stand-alone embodiment that may utilize occasional connectivity to a central computer by use of a network, such as the Internet. New authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Abstract: A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over a telephone network. Two new authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A semantic discrepancy evaluator routine along with a mental status examination are used to detect the consciousness level of a user of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Abstract: An object of invention is to display necessary information on a screen and display predicted information obtained by predicting the progression of the necessary information. In a bed-side information system, a body information monitor 11 measures arterial blood pressures of a patient 14. The body information monitor 11 measures systolic arterial blood pressures and diastolic arterial blood pressures, and calculates average values thereof. A Hematocrit monitor 12 calculates Hematocrit, change blood volume rate, and Venous Blood Oxygen Saturation. The body information monitor 11 transmits arterial blood pressure information to a desktop PC 15 and the Hematocrit monitor 12 transmits Hematocrit, change blood volume rate, and Venous Blood Oxygen Saturation to the desktop PC 15. The desktop PC 15 displays arterial blood pressure, Hematocrit, change blood volume rate, and Plasma Refilling Rate on a screen of a display using these information items.

Abstract: A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over a telephone network. Two new authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A semantic discrepancy evaluator routine along with a mental status examination are used to detect the consciousness level of a user of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Abstract: A system and method for allowing a patient to access an automated process for managing a specified health problem called a disease. The system performs disease management in a fully automated manner, using periodic interactive dialogs with the patient to obtain health state measurements from the patient, to evaluate and assess the progress of the patient's disease, to review and adjust therapy to optimal levels, and to give the patient medical advice for administering treatment and handling symptom flare-ups and acute episodes of the disease. The medical records are updated, the progression of the disease is stored and tracked, and the patient's preferences for treatment are stored and then used to offer medical advice based on the current state of the disease. A prestored general disease trend curve is compared against a patient specific disease trend curve, and the system makes an automated response such as adjusting therapy.

Abstract: In general, the invention is directed to a technique for selection of parameter configurations for a neurostimulator using neural networks. The technique may be employed by a programming device to allow a clinician to select parameter configurations, and then program an implantable neurostimulator to deliver therapy using the selected parameter configurations. The parameter configurations may include one or more of a variety of parameters, such as electrode configurations defining electrode combinations and polarities for an electrode set implanted in a patient. The electrode set may be carried by one or more implanted leads that are electrically coupled to the neurostimulator. In operation, the programming device executes a parameter configuration search algorithm to guide the clinician in the selection of parameter configurations. The search algorithm relies on a neural network that identifies potential optimum parameter configurations.

Abstract: Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.

Abstract: A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over a telephone network. Two new authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A semantic discrepancy evaluator routine along with a mental status examination are used to detect the consciousness level of a user of the system. A re-enter feature monitors the user's changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.